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README.md
[Device plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices). A smaller CPU-only package is also available: ``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands. *Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
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ci/official/requirements_updater/README.md
unless indicated otherwise. 1) Add the new version to the `VERSIONS` variable inside `tensorflow/tools/toolchains/python/python_repo.bzl`. \ While this isn't necessary for running the updater, it is required for actually using the new version with Tensorflow. 2) In the `WORKSPACE` file, add the new version to the `python_versions`
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ci/official/README.md
# the TF MacOS package from Linux. # Ex. linux_x86 -- x86_64 Linux platform # Ex. linux_x86_cuda -- x86_64 Linux platform, with Nvidia CUDA support # Ex. macos_arm64 -- arm64 MacOS platform # 3. Add modifiers. Some modifiers for local execution are: # Ex. disk_cache -- Use a local cache # Ex. public_cache -- Use TF's public cache (read-only)
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